| Count | U_Growth | U_Trend | S_Growth | S_Trend | TPU_Growth | TPU_Trend | V_Growth | V_Trend | |
|---|---|---|---|---|---|---|---|---|---|
| ALL | 14524 | 0.84 | 0.93 | 1.11 | 1.31 | ||||
| ACA:AUSD | 6032 | 0.82 | 0.88 | 1.06 | 1.41 | ||||
| AUSD:LCDOT | 4509 | 0.84 | 0.9 | 1.05 | 1.32 | ||||
| DOT:LCDOT | 3983 | 0.99 | 0.95 | 0.94 | 0.71 |
Last updated: 2022-03-20 20:35:20
Date range of data: 2022-03-07T00:01:54.346 to 2022-03-20T23:59:54.21.
Sources: SubQuery Network Acala-Swap-Day-Data Karura-Swap-Data
---
title: "Acala / Karura Dashboards"
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: scroll
social: menu
source_code: embed
params:
endpoint: "https://api.subquery.network/sq/rogerjbos/acala-swap-day-data"
network: Acala
window: 14
---
```{css custom1, echo=FALSE}
.dataTables_scrollBody {
max-height: 100% !important;
}
```
```{r global, include=FALSE}
knitr::opts_chunk$set(
message = FALSE,
warning = FALSE,
comment = "#>"
)
library(kableExtra)
library(formattable)
library(lubridate)
library(flexdashboard)
library(DT)
# Helper function to concat
`%+%` <- function(a, b) paste0(a, b)
# remotes::install_github("ropensci/ghql") # if package is not already installed
library(jsonlite)
library(data.table)
library(ghql)
x <- GraphqlClient$new()
karura_dex_endpoint <- "https://api.subquery.network/sq/rogerjbos/karura-dex-subql"
acala_dex_endpoint <- "https://api.subquery.network/sq/rogerjbos/acala-dex-subql"
karura_swap_endpoint <- "https://api.subquery.network/sq/rogerjbos/karura-swap-data"
acala_swap_endpoint <- "https://api.subquery.network/sq/rogerjbos/acala-swap-day-data"
karura_official_endpoint <- "https://api.subquery.network/sq/AcalaNetwork/karura"
acala_official_endpoint <- "https://api.subquery.network/sq/AcalaNetwork/acala"
getSwaps <- function(endpoint, window) {
# endpoint <- acala_endpoint; window <- 10
# make a client
cli <- GraphqlClient$new(url = endpoint)
mindate <- today(tzone = 'UTC') - window
cursor <- ''
resList <- list()
for (i in 1:1000) {
if (cursor == '') {
cursorStr <- 'first:100'
} else {
cursorStr <- 'first:100 after:"' %+% cursor %+% '"'
}
qry <- Query$new()
qry$query('dexActions', '
{
query {
dexActions (filter: {timestamp: {greaterThanOrEqualTo: "' %+% mindate %+% '"}, type: {equalTo: "swap"}} ' %+% cursorStr %+% ') {
totalCount
edges {
node { timestamp id accountId token0Id token1Id volumeUSD volumeUSDFloat pathLength data
}
cursor
}
pageInfo {
endCursor
hasNextPage
}
}
}
}')
result <- cli$exec(qry$queries$dexActions) %>%
fromJSON(flatten=TRUE)
cursor <- result$data$query$dexActions$pageInfo$endCursor
res <- as.data.table(result$data$query$dexActions$edges)
res[, cursor := NULL]
print(i %+% " " %+% nrow(res))
resList[[i]] <- res
if (result$data$query$dexActions$pageInfo$hasNextPage == FALSE) break
}
res <- rbindlist(resList)
setnames(res, old = names(res), new = gsub("node.", "", names(res)))
if (substr(max(res$timestamp), 12, 13) < 23) {
maxdate <- as.Date(max(res$timestamp))-1
} else {
maxdate <- as.Date(max(res$timestamp))
}
res <- res[timestamp <= maxdate]
res[, date := as.Date(timestamp)]
setorder(res, timestamp)
# Replace foreign assets
res[token0Id == 'fa://0', token0Id := 'RMRK']
res[token1Id == 'fa://0', token1Id := 'RMRK']
res[token0Id == 'lc://13', token0Id := 'LCDOT']
res[token1Id == 'lc://13', token1Id := 'LCDOT']
if (min(res$pathLength) == 2) res[, pathLength := pathLength - 1]
res[, fee := .003 * volumeUSDFloat]
res[, feeAdj := .003 * pathLength * volumeUSDFloat]
# Normalize pairs
res[, pair := paste0(token0Id %+% ":" %+% token1Id)]
res[token1Id < token0Id, pair := paste0(token1Id %+% ":" %+% token0Id)]
res[, exclude := token0Id == token1Id]
res
}
getSwapsByDay <- function(endpoint, window) {
# endpoint <- karura_swap_endpoint; window <- 40
# make a client
cli <- GraphqlClient$new(url = endpoint)
mindate <- today(tzone = 'UTC') - window
cursor <- ''
resList <- list()
for (i in 1:1000) {
if (cursor == '') {
cursorStr <- 'first:100'
} else {
cursorStr <- 'first:100 after:"' %+% cursor %+% '"'
}
qry <- Query$new()
qry$query('swapDayData', '
{
query {
swapDayData (filter: {date: {greaterThanOrEqualTo: "' %+% mindate %+% '"}} ' %+% cursorStr %+% ') {
totalCount
edges {
node {
date
token0Id
token1Id
volumeUSD
tvlUSD
feeUSD
txCount
}
cursor
}
pageInfo {
endCursor
hasNextPage
}
}
}
}')
result <- cli$exec(qry$queries$swapDayData) %>%
fromJSON(flatten=TRUE)
cursor <- result$data$query$swapDayData$pageInfo$endCursor
res <- as.data.table(result$data$query$swapDayData$edges)
res[, cursor := NULL]
print(i %+% " " %+% nrow(res))
resList[[i]] <- res
if (result$data$query$swapDayData$pageInfo$hasNextPage == FALSE) break
}
res <- rbindlist(resList)
setnames(res, old = names(res), new = gsub("node.", "", names(res)))
res[, date := as.Date(date)]
setorder(res, date)
# Replace foreign assets
res[token0Id == 'fa://0', token0Id := 'RMRK']
res[token1Id == 'fa://0', token1Id := 'RMRK']
res[token0Id == 'lc://13', token0Id := 'LCDOT']
res[token1Id == 'lc://13', token1Id := 'LCDOT']
# Normalize pairs
res[, pair := paste0(token0Id %+% ":" %+% token1Id)]
res[token1Id < token0Id, pair := paste0(token1Id %+% ":" %+% token0Id)]
res
}
window <- params$window
endpoint <- params$endpoint
network <- params$network
swaps2 <- getSwapsByDay(endpoint, window)
swaps <- getSwaps(endpoint, window)
d <- list()
for (i in 1:nrow(swaps)) {
tmp <- swaps[['data']][[i]][['value']]
swapAccount <- tmp[[1]]
test <- fromJSON(tmp[[2]])
token <- test[[1]]
if (length(test) > 1) {
alt <- test[[2]]
token[is.na(token)] <- alt[is.na(token)]
}
token <- sub("13", "LCDOT", token)
token <- sub("0", "RMRK", token)
amount <- fromJSON(tmp[[3]])
while (length(token) < 4) {
token <- c(token, NA)
amount <- c(amount, NA)
}
out <- data.table(swapAccount, t(token), t(amount)) %>%
setnames(c("swapAccount", "token0", "token1", "token2", "token3", "amount0", "amount1", "amount2", "amount3"))
d[[i]] <- out
}
out <- rbindlist(d)
swaps <- cbind(swaps, out)
swaps[, data := NULL]
swaps[, pair1 := paste0(token0 %+% ":" %+% token1)]
swaps[, pair2 := paste0(token1 %+% ":" %+% token2)]
swaps[, pair3 := paste0(token2 %+% ":" %+% token3)]
swaps[token1 < token0, pair1 := paste0(token1 %+% ":" %+% token0)]
swaps[token2 < token1, pair2 := paste0(token2 %+% ":" %+% token1)]
swaps[token3 < token2, pair3 := paste0(token3 %+% ":" %+% token2)]
# swaps[pair1=='ACA:AUSD' | pair2=='ACA:AUSD' | pair3=='ACA:AUSD', .N, by = date]
pairs <- rbind(swaps[exclude == FALSE, .N, by = pair1] %>% setnames("pair1", "Pair"),
swaps[exclude == FALSE, .N, by = pair2] %>% setnames("pair2", "Pair"),
swaps[exclude == FALSE, .N, by = pair3] %>% setnames("pair3", "Pair"))
pairs <- pairs[, sum(N), by = Pair]
# remove pairs with NA in them
pairs <- pairs[-grep("NA", pairs$Pair)]
pairs <- rbind(data.table(Pair = "ALL", V1 = sum(pairs$V1)), pairs)
pairs <- pairs[order(V1, decreasing = TRUE)] %>%
setnames(c("Pair", "Observations"))
swaps[, paths := as.factor(pathLength)]
# Calculate measures for each pair
user_status <- list()
trades_status <- list()
tpu_status <- list()
volume_status <- list()
users_list <- list()
trades_list <- list()
per_list <- list()
volume_list <- list()
# remove old params object before calling render with new params list
rm(params)
for (p in pairs$Pair) {
# p <- pairs$Pair[2]
try(rm(u_list, t_list, p_list, v_list), silent = TRUE)
outname <- "~/R_HOME/websites/web_acala/content/swap_" %+% network %+% "_" %+% p %+% ".html"
unlink(outname)
# Create report for each pair
rmarkdown::render("~/R_HOME/karura-reports/Swap_template.Rmd",
output_file = outname,
params = list(pair = p))
# Store the data for the table
user_status[p] <- activeUsersStatus
trades_status[p] <- tradesStatus
tpu_status[p] <- avgTradeStatus
volume_status[p] <- tradeVolumeStatus
users_list[[p]] <- u_list
trades_list[[p]] <- t_list
per_list[[p]] <- p_list
volume_list[[p]] <- v_list
}
d <- list()
for (x in pairs$Pair) {
d[x] <- paste0('', x, '', collapse = '')
}
inline_plot <- data.frame(Count = pairs$Observations,
U_Growth = unlist(user_status),
U_Trend = "",
S_Growth = unlist(trades_status),
S_Trend = "",
TPU_Growth = unlist(tpu_status),
TPU_Trend = "",
V_Growth = unlist(volume_status),
V_Trend = "")
row.names(inline_plot) <- unlist(d)
inline_plot$U_Growth <- cell_spec(inline_plot$U_Growth, color = ifelse(inline_plot$U_Growth < 1, "red", "green"))
inline_plot$S_Growth <- cell_spec(inline_plot$S_Growth, color = ifelse(inline_plot$S_Growth < 1, "red", "green"))
inline_plot$TPU_Growth <- cell_spec(inline_plot$TPU_Growth, color = ifelse(inline_plot$TPU_Growth < 1, "red", "green"))
inline_plot$V_Growth <- cell_spec(inline_plot$V_Growth, color = ifelse(inline_plot$V_Growth < 1, "red", "green"))
p <- inline_plot %>%
kbl(booktabs = TRUE, escape = FALSE, align='rrrrrrrrr') %>%
add_header_above(c(" " = 1, " " = 1, "Active Users" = 2, "Swap Trades" = 2, "Trades Per User" = 2, "Trading Volume" = 2)) %>%
kable_paper(full_width = FALSE) %>%
column_spec(4, image = spec_plot(users_list, same_lim = FALSE)) %>%
column_spec(6, image = spec_plot(trades_list, same_lim = FALSE)) %>%
column_spec(8, image = spec_plot(per_list, same_lim = FALSE)) %>%
column_spec(10, image = spec_plot(volume_list, same_lim = FALSE))
```
### `r network` Swap Performance Summary
```{r plot_acala, result='asis', out.height = 12}
p
```
Last updated: `r Sys.time()`
Date range of data: `r min(swaps$timestamp)` to `r max(swaps$timestamp)`.
Sources:
[SubQuery Network](https://explorer.subquery.network/)
[Acala-Swap-Day-Data](https://api.subquery.network/sq/rogerjbos/acala-dex-subql)
[Karura-Swap-Data](https://api.subquery.network/sq/rogerjbos/karura-dex-subql)